Model Description
Typhoon-7b QLoRA Finetune by unsloth with SQL Context dataset.
Training Hyperparameters
Batch Size: 48 (4(BS)x4(GAS)x3(GPU))
The following bitsandbytes quantization config was used during training:
- r = 64
- lora_alpha = 16
- lora_dropout = 0.05
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: float16
LOSS
Step Training Loss Eval Loss
1550 (Epoch:1) 0.4295 0.4367
3110 (Epoch:2) 0.4057 0.4217
Framework versions
- PEFT 0.7.0
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